#!C:/Python27
# coding=utf-8

# from pytesser import *
from PIL import Image, ImageEnhance, ImageFilter
import os
import fnmatch
import re, time

import urllib, random


# import hashlib

def getGray(image_file):
    tmpls = []
    for h in range(0, image_file.size[1]):  # h
        for w in range(0, image_file.size[0]):  # w
            tmpls.append(image_file.getpixel((w, h)))

    return tmpls


def getAvg(ls):  # 获取平均灰度值
    return sum(ls) / len(ls)


def getMH(a, b):  # 比较100个字符有几个字符相同
    dist = 0;
    for i in range(0, len(a)):
        if a[i] == b[i]:
            dist = dist + 1
    return dist


def getImgHash(fne):
    image_file = Image.open(fne)  # 打开
    image_file = image_file.resize((12, 12))  # 重置图片大小我12px X 12px
    image_file = image_file.convert("L")  # 转256灰度图
    Grayls = getGray(image_file)  # 灰度集合
    avg = getAvg(Grayls)  # 灰度平均值
    bitls = ''  # 接收获取0或1
    # 除去变宽1px遍历像素
    for h in range(1, image_file.size[1] - 1):  # h
        for w in range(1, image_file.size[0] - 1):  # w
            if image_file.getpixel((w, h)) >= avg:  # 像素的值比较平均值 大于记为1 小于记为0
                bitls = bitls + '1'
            else:
                bitls = bitls + '0'
    return bitls


'''         
   m2 = hashlib.md5()   
   m2.update(bitls)
   print m2.hexdigest(),bitls
   return m2.hexdigest()
'''


def get_compare(filename1, filename2):
    a = getImgHash(filename1)  # 图片地址自行替换
    b = getImgHash(filename2)
    compare = getMH(a, b)
    return compare